Engineers and Consultants
Engineers and Consultants
The Health Score (HS) for one hydropower generator was deteriorating over time. In April 2023, the HS reached a low of 88%. After a maintenance event correction, the HS was back up to the historically normal level of 95%. In addition to the vibration trends returning to normal levels, the Health Score also returned to […]
Proof of Correction in the Health Score Change! Read More »
In the previous posts, we saw the vibration increase that was associated with anomaly generation. We also saw the Alerts List with their Contributing Factors. This post reveals the scatterplots associated with the contributing factors, where the training data on the CF are shown in green, and the deviations are shown in red. Clearly, there
Deviations are the Key to Understanding Anomalies Read More »
Vibration data from the Alert generated on March 4, 2023, shows the initiation of the defect, shown in the green box below. The vibration anomaly increased the amplitude on one of the vibration probes. For this machine, amplitudes below 6 Mils (0.006 inches displacement, peak-to-peak) are considered good. The Acceptable amplitude region is from 6
Vibration Data Directly Correlates to Generator Health Score Reduction Read More »
The Anomaly Detection Engine (ADE) feeds its results to the Apparent Cause Engine (ACE), and based on factors that may include a Failure Modes and Effects Analysis (FMEA), Action Recommendations are generated. Limiting the ACE with FMEA increases the probability of an accurate diagnosis by the ACE. Remember, these are specifically built, intentional outputs for
Anomaly Detection Engine (ADE) Alerts and Recommendations Read More »
RTDs provide temperature measurements and in the case for the image below, the air cooling (Out and In) are the two largest contributing factors impacting the Anomaly Score. The MVAR and TopOilTemp tags are the lowest of the top five relative contributors to the Anomaly Score. Alerts and Recommendations may be generated by clicking on
Generator Analytics Lead to Anomaly Score Highest Contributing Factors Read More »
Health Score Impact Factors (anomalies) can appear at the facility, unit, hierarchy group, input, and custom Asset Management levels (in this case, Mesa designed a custom anomaly detection called ‘startup type’). For example, at the unit level, both the turbine and generator have reduced health scores (51%) in the image. Anomalies at the various hierarchical
Health Score Impact Factors Read More »
Hydro Turbines are complex machines with multiple transient conditions at start-up. Advanced Pattern Recognition is key in determining the roles that load, net head, cooling water temperature, and air cooler fouling play in day-to-day operations. Calculating the Generator’s Asset Health Score (AHS) for trending helps users determine the overall asset’s health over time. In one
Machine Learning for Asset Health Tracking Read More »
A good Asset Management program requires some time-based activities, such as filter changes and lubrication events. The challenge is in performing scheduled maintenance activities on time to keep a low-risk profile. Skipping or deferring maintenance items will increase problems over time. In Hydro Generation, if air cooler fouling is left untreated, daily operations can be
Is your current maintenance schedule primarily time-based? Read More »
Dr. Boualem (Bo) Hadjerioua will be presenting on Mesa’s newly acquired small hydro technology at NHA Hydropower Week in Washington, D.C. during the “Water Power Innovation Showcase: Conventional Hydro and Marine Energy” session on Wednesday, March 13, from 10:30 AM – 11:30 AM in the Senate Room.
The presentation will delve into the Tennessee Valley Authority’s (TVA) innovative technique of using surface water pumps to improve dissolved oxygen (DO) levels in turbine releases to meet the tailwater DO content’s limit requirements. Dr. Hadjerioua or one of his staff will present the findings from the proposed surface pumps.
Hadjerioua To Present Technical Paper at HYDROVISION 2024 Read More »